Payment Lifecycle Analyst

Are you ready to make an impact in the world of digital payments Join our team where your analytical prowess and problem-solving skills will help shape the future. We offer a stimulating environment with opportunities for constant learning and expanded responsibilities.

As a Payment Lifecycle Analyst within Payments Operations, you will have to perform data analysis in a 24 X 5 environment, supporting Global Core Cash Operations encompassing Asia, EMEA and WHEM regions. You will have a direct reporting line into Associate and will be directly responsible for Data Analyst to turn data into information, information into insight. Candidate will conduct activities to include requirements analysis and design, develop analysis. The role involves close coordination and working with other client operations sites to ensure business targets are met.

Job responsibilities

• Lead a small team of analyst in executing specific projects or initiatives.
• Collaborate with the manager to develop best practices for data management analysis and visualization.
• Support the team in data collection analysis and reports to deliver actionable insights to stakeholders
• Act as a liaison between the team and internal stakeholders to ensure alignment of various initiatives with business objectives.
• Provide guidance and support to team members in executing projects and developing new skills in data analysis
• Assist in the development of project timelines resource allocation and performance management for the team
• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Locate and define new process improvement opportunities
• Monitors all relevant Management Information System data ensuring all issues have been resolved expediently.
• Ensure that all work items are completed as per the agreed SLA.

Required qualifications, capabilities, and skills

• Graduate with Minimum 4 years exprience Financial Operations Processing experience
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages
• Knowledge of statistics and experience using statistical packages for analyzing large datasets (Excel, etc.)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Strong Interpersonal skills to be able to communicate internally & externally and at all levels.

Preferred qualifications, capabilities, and skills

• Working Knowledge of SWIFT & international payment conventions & practices would be plus
• Preferred working experience as a data analyst
• Developing experience using AI-powered analytics, workflow automation, or intelligent process tools to drive efficiency gains, reduce manual effort, or improve accuracy in operational processes